Integrating CERIF entities in a multidisciplinary e-infrastructure for environmental research data

Enrico Boldrinia, Daniela Luzib, Stefano Nativia, Fabrizio Pecorarob

aInstitute of Atmospheric Pollution Research, National Research Council (CNR-IIA), Sesto Fiorentino, ItalybInstitute for Research on Population and Social Policies, National Research Council (CNR-IRPPS), Rome, Italy *

CRIS2014 - Rome, 13-15 May 2014

CRIS2014 - Rome, 13-15 May 2014

Aims Background Two-way Crosswalk

From ISO 19115 INSPIRE profile to CERIF From CERIF to ISO 19115

Proposal of CERIF extension Proposal of a CERIF profile in ISO 19115 Implementation in a brokering framework Discussion

Index

CRIS2014 - Rome, 13-15 May 2014

Aim

From ISO to CERIF:

Providing a CERIF guideline for the description of datasets according to the INSPIRE profile ISO 19115

From CERIF to ISO:Proposing an ISO profile for contextual research information on the basis of CERIF concepts

Extension of the Brokering approach used in environmental

e-infrastructures with contextual research information based on CERIF

Two way crosswalk:

Proposal of different solutions to integrate research context information with environmental datasets

CRIS2014 - Rome, 13-15 May 2014

ISO 19115Geographical Information metadata

ISPIRE Metadata Implementing Rules • Eu Directive to implement ISO

19115 to create a European Union spatial data infrastructure

• Core set of mandatory and optional metadata and related constraints

INSPIRE profileISO 19115

• Part of geographical information suite of standards (19100 series)

• Description of geographic information and services: identification, extent, quality, spatial and temporal schema, spatial reference and distribution of digital geographic data

• more than 400 metadata elements• Provision of rules for valid metadata

extensions

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CERIF

Comprehensive conceptual model on research information and related process suitable for different purposes: management, scientific exchange, evaluation …

E-R based, flexible model based on: Base entities Semantic layer Multiple relationships

Constantly maintained by the euroCRIS community

CERIF version 1.6

CRIS2014 - Rome, 13-15 May 2014

Challenges

Citation

CV

Prize

Qualification

ExpertiseAndSkills

Equipment

Facility

Funding

Service

ElectronicAddresse

PostalAddress

Country

CurrencyLanguage

Event

Metrics IndicatorMeasurement

Different domainsscopes

structuressemantics

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Mapping from INSPIRE ISO 19115 profile to CERIF

• Straightforward INSPIRE elements have semantically correspondent elements in the CERIF data model

• Inferential mapping both INSPIRE and CERIF can refer to a data dictionary/vocabulary that contains semantically shared terms;

• Convention the CERIF metadata elements can be accommodated to express some mandatory INSPIRE elements by convention of the parties exposing their metadata

CRIS2014 - Rome, 13-15 May 2014

• Semantically correspondent notation with CERIF entity cfResProd and some related elements

• Automatic discovery and interpretation of datasets exposed in RISs using CERIF model

INSPIRE elements INSPIRE Section ISO 19115 Path ISO

Card. CERIF Path CERIF Card.

Dataset title B1.1 MD_Metadata > MD_DataIdentification.citation > CI_Citation.title [1..1] cfResProd > cfResProdName [1..*]

Geographic Bounding Box B4.1 MD_Metadata > MD_DataIdentification.extent > EX_Extent >

EX_GeographicExtent > EX_GeographicBoundingBox [1..*]cfResProd > cfResProd_GeoBBox > cfGeoBBox

[0..*]

Abstract describing the dataset B1.2 MD_Metadata > MD_DataIdentification.abstract [1..1] cfResProd >

cfResProdDescr [1..*]

Dataset keyword B3 MD_Metadata > MD_DataIdentification.descriptiveKeywords > MD_Keywords [1..*] cfResProd >

cfResProdKeyw [1..*]

Unique resource identifier B1.5 MD_Metadata > MD_DataIdentification.citation >

CI_Citation.identifier [1..*] cfResProd > cfResProdID [1..1]

Resource type B1.3 MD_Metadata.hierarchyLevel [1..*] [fixed by the scope to dataset]

Metadata character set - MD_Metadata.characterSet [1..1] [fixed to UTF-8]

Straightforward mapping

CRIS2014 - Rome, 13-15 May 2014

Information can be inferred using: • CERIF semantic layer (cfClassId …) and link entities • ISO CodeList dictionary

Important to express roles and topics univocally

INSPIRE mandatory elements

INSPIRE

SectionISO 19115 Path ISO

Card. CERIF Path CERIF Card. CERIF Role specification

Dataset responsible party

B9MD_Metadata > MD_DataIdentification.pointOfContact > CI_ResponsibleParty

[1..*]

cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfOrgUnitName AND cfOrgUnit_EAddr [AND cfResProd > cfPers_ResProd > cfPers > cfPersName]

[1..*]cfClassId ∈ CI_RoleCode (e.g. “custodian”)cfClassSchemeId=”CI_RoleCode”

Metadata point of contact

B10.1 MD_Metadata.contact > CI_ResponsibleParty [1..*]

cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfOrgUnitName AND cfOrgUnit_EAddr [AND cfResProd > cfPers_ResProd > cfPers > cfPersName]

[1..*]cfClassId CI_RoleCode (e.g. ∈“pointOfContact”)cfClassSchemeId=”CI_RoleCode”

Dataset topic category B2.1

MD_Metadata > MD_DataIdentification.topicCategory

[1..*] cfResProd_Class [1..*]cfClassId ∈ MD_TopicCategoryCode (e.g. biota)cfClassSchemeId=”MD_TopicCategoryCode”

Inferential mapping

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Mapping of information on:• dataset quality and lineage, • temporal reference, • language

INSPIRE mandatory elements

INSPIRE

SectionISO 19115 Path ISO

Card. CERIF Path CERIF Card.

CERIF Role specification

Conformity B7 MD_Metadata > DQ_DataQuality.report [1..*] cfResProd > cfResProd_Meas > cfMeas >

cfMeasName AND cfValJudgeText [1..*] cfMeasName=‘conformity’

Lineage B6.1MD_Metadata > DQ_DataQuality.lineage > LI_Lineage

[1..1] union(cfResProd > cfResProd_Meas > cfMeas > cfMeasDescr) [1..*] cfMeasName=

‘lineage’

Dataset reference date

B5MD_Metadata > MD_DataIdentification.citation > CI_Citation.date

[1..*] cfResProd > cfOrgUnit_ResProd > cfOrgUnit > cfStartDate/cfEndDate

cfClassId=‘author institution’

Metadata date stamp B10.2 MD_Metadata.dateStamp [1..1] cfResProd > cfOrgUnit_ResProd > cfOrgUnit

> cfStartDate/cfEndDate [1..*] cfClassId=‘publisher institution’

Metadata language B10.3 MD_Metadata.language [1..1] cfResProd > cfResProdName > cfLangCode [1..*]

Temporal extent B5.1

MD_Metadata > MD_DataIdentification.extent > EX_Extent > EX_TemporalExtent

[1..*] From minimum to maximum (cfResProd > cfResProd_Meas > cfMeas > cfDateTime) [1..*]

Convention

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New entities related to research products expressing: • condition of access and use, • limitation on public access• dataset language• dataset character codes• + optional ISO information related to the metadata used

A proposal of CERIF extension

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Mapping from CERIF to ISO 19115 profileProposal of extensions according to ISO methodology based on CERIF :• project entity • publications linked to dataset+ expansion of ISO concepts providing more information on Organisations and Persons

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GI-cat discovery broker

• GI-cat broker technology powers different projects and initiatives:

• Italian Antactic Data Center (IADC)

• Italian Special project NextData

• CNR GIIDA• ISPRA catalog of catalogs• AfroMaison• Global Earth Observation

System of Systems (GEOSS)• …

GI-cat enables scientific data search across different, heterogeneous data sources. Results are profiled according to the desired model.

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Implementation results - GI-cat extensions for CERIF

brokers CERIF datasets published according to the

CERIF XML Schema

exposes the resources brokered returning documents

which are conform to the CERIF XML Schema.

CERIF Docs

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CERIF Documents stored in a XML repository are

brokered by GI-cat and republished according to ISO

19115 through the CSW/ISO discovery

interface, required by INSPIRE.

Test case #1 Publishing CERIF products for INSPIRE

Aim: CERIF result products are made available according to INSPIRE

ISO profiler

CSW/ISO

CERIF Docs

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The CERIF profiler enables discovery

through an OpenSearch interface.

INSPIRE datasets stored in a CSW ISO

catalog can be discovered and

converted to CERIF XML documents.

Test case #2 Porting INSPIRE information to CERIF

Aim: INSPIRE datasets are discovered and returned according to CERIF XML Schema

CSW/ISO accessor

CSW/ISO

INSPIRE

Catalog

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Testing results

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Summarising some results … 1)

Data elements mapped:

• 16/20 INSPIRE mandatory elements• 7 --> straightforward • 3 --> inferential • 6 --> by convention

• 6/8 optional elements

Discovery of primary data elements based on CERIF Result Product

CERIF semantic layer facilitates a flexible application of the model in heterogeneous environments

BUTneeds specific constraints and rules

to establish consistent semantic integration

CRIS2014 - Rome, 13-15 May 2014

Summarising some results … 2)

• Proposal of introducing a CERIF profile to extend ISO concepts with contextual research information:

• Projects• Datasets associated to publications

Implementation and successful test of the GI-cat allows without additional implementation efforts:• Integration of ISPIRE datasets in RISs• Integration of RISs with environmental dataset systems

Future work: service discovery, extending mapping to ISO 19119

CRIS2014 - Rome, 13-15 May 2014

Discussion

Proposal of different solutions to be submitted to the euroCRIS community

Some further suggestions:

• Introduction of a specific entity to univocally identify datasets as research products

• Establish set of rules/procedures to create CERIF valid metadata extensions

CRIS2014 - Rome, 13-15 May 2014

Thank you!